Big Data Technologies, Tableau, Tensorflow, Numpy, Pytorch, Docker, Microsoft Azure, Python, Matplotlib, Hadoop, Power Bi, Machine Learning Algorithms, Sql, Deep Learning, Pandas, Spark, Seaborn, Kubernetes, Computer Vision, MLflow, data visualization tools, data engineering concepts, MLOps tools, ETL pipelines, Scikit-learn, cloud platforms, Generative AI technologies

.NET, Java, Orchestration, Tensorflow, Pytorch, Keras, Python, data preprocessing, LLMs, model training, generative models, reinforcement learning, Agentic AI solutions, AI methodologies, generative AI architectures, memory workflows, feature engineering

Machine Learning, Python Programming, Artificial Intelligence, Kubernetes and Docker, REST API design

data engineering , Docker, Data Cleaning, Rest Apis, AWS, Python, Azure, Cloud Infrastructure, Gcp, ETL pipelines, LLM-based systems, semantic search architecture, vector databases, embeddings, large-scale processing

Scripting, Golang, microservice architecture, Numpy, Pandas, Scikit, Kubernetes, Python, AWS, GenAI Prompt Engineering, DevOps practices, cloud-native applications, Jupyter notebooks

Automated Testing, Design Patterns, Python, Version Control, prompt engineering, agentic frameworks, retrieval-augmented generation, fine-tuning, code reviews, LLM techniques, AI coding tools, GitHub Copilot, Claude Code

Flask, Sql, Tensorflow, Django, Numpy, Rest Apis, Pandas, Pyramid, Python, ScikitLearn, Python ORM Libraries, Cognitive Services, Azure OpenAI, Dataset preparation and cleansing, Azure ML Studio